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Tree-Based Visualization and Optimization for Image Collection
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DOI：10.1109/TCYB.2015.2448236.png)
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Abstract
En 中文
The visualization of an image collection is the process of displaying a collection of images on a screen under some specific layout requirements. This paper focuses on an important problem that is not well addressed by the previous methods: visualizing image collections into arbitrary layout shapes while arranging images according to user-defined semantic or visual correlations (e.g., color or object category). To this end, we first propose a property-based tree construction scheme to organize images of a collection into a tree structure according to user-defined properties. In this way, images can be adaptively placed with the desired semantic or visual correlations in the final visualization layout. Then, we design a two-step visualization optimization scheme to further optimize image layouts. As a result, multiple layout effects including layout shape and image overlap ratio can be effectively controlled to guarantee a satisfactory visualization. Finally, we also propose a tree-transfer scheme such that visualization layouts can be adaptively changed when users select different images of interest. We demonstrate the effectiveness of our proposed approach through the comparisons with state-of-the-art visualization techniques.
Keywords:
Image collage
image collection visualization
layout optimization
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